Course Areas: Business and Commercial Law
Law And Society/ Interdisciplinary

Time:1:00p-2:30p TTh Location:209 BLB

Course Outline: This course will develop students’ skills in analytic methods likely to be used in the practice of law. The skills emphasized will be (1) statistics/machine learning, which is often useful in analyzing data and examining expert witnesses; (2) decision analysis, often used both by business people and useful to lawyers making strategic decisions; (3) finance, frequently used in transactional law as well as litigation; (4) game theory, critical in analyzing situations in which you are up against an adversary; and (5) economic analysis of law, useful in creating mechanisms likely to lead to desired behavior as well as analysis of regulations.

This site contains the syllabus, reading assignments, and will be used for the entire semester.

Course Notes: THERE WILL BE NO BOOK FOR THIS COURSE.

Prerequisites: Students who are mathphobic or who have not performed well in math classes should not enroll in this course without discussing the matter with the instructor. Some computer programming experience is also useful background, with knowledge of Java, C, Lisp, XML (not really a language), Maple, or Matlab particularly helpful. No knowledge of Mathematica is assumed.

First Day Assignments: https://sites.google.com/site/analyticmethodsforlawyers/

This site contains the syllabus, reading assignments, and will be used for the entire semester.